Evidence map›Paper›PMID 41524882›Full record

ArticleEuropean journal of epidemiology2026

Space-time clustering of childhood high hyperdiploid B-cell precursor acute lymphoblastic leukemia: a nationwide Swedish study.

Gleb Bychkov, Niklas Engsner, Benedicte Bang, Mats Marshall Heyman, Gisela Barbany, Anna Skarin Nordenvall, Giorgio Tettamanti, Claes Strannegård, Ann Nordgren

Abstract read
In one paragraph

Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gleb BychkovDepartment of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden. gleb.bychkov@ki.se.ORCID http://orcid.org/0000-0002-2072-7309
Niklas EngsnerDepartment of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0219-9522
Benedicte BangDepartment of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6907-4954
Mats Marshall HeymanDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7637-1949
Gisela BarbanyDepartment of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-3185-2962
Anna Skarin NordenvallDepartment of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-3034-9222
Giorgio TettamantiDepartment of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-5210-7219
Claes Strannegård *Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4571-9759
Ann Nordgren *Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden. ann.nordgren@ki.se.ORCID http://orcid.org/0000-0003-3285-4281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy. While space-time clustering of ALL cases has been suggested, only one prior study has examined clustering by genetic subtype. We investigated space-time clustering of childhood ALL in Sweden, both overall and by genetic subtype. The cohort included 1,629 children age 0-18 years diagnosed with ALL between 1992 and 2017, comprising 1,446 B-cell precursor ALL (BCP-ALL) and 183 T-cell ALL (T-ALL) cases. Two BCP-ALL subgroups were analyzed: high hyperdiploidy (HeH, n = 466) and ETV6::RUNX1 (n = 225). The Unbiased Knox Test and Unbiased Combined Knox Test were used to assess space-time clustering at the municipality level, accounting for multiple testing and population shifts. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm was applied to identify significant clusters. Logistic regression was used to evaluate demographic differences between clusters, including age, sex, and birth order. Significant space-time clustering was observed in the HeH subgroup for both place and date of birth (p = 0.005) and place and date of diagnosis (p = 0.011), at space-time thresholds of 40 km/18 months and 30 km/24 months, respectively. No clustering was detected in the overall BCP-ALL group, T-ALL group, or the ETV6::RUNX1 subgroup. Space-time clustering at birth and diagnosis was observed in the HeH subgroup, suggesting potential etiologic heterogeneity in BCP-ALL. These findings support further investigation of environmental and infectious exposures across immunophenotypes and genetic subtypes in larger cohorts.

Indexed as

Precursor B-Cell Lymphoblastic Leukemia-LymphomaAdolescentChildChild, PreschoolCore Binding Factor Alpha 2 SubunitETS Translocation Variant 6 ProteinFemaleHumansInfantInfant, NewbornMaleOncogene Proteins, FusionProto-Oncogene Proteins c-etsRepressor ProteinsSpace-Time ClusteringSwedenCore Binding Factor Alpha 2 SubunitETS Translocation Variant 6 ProteinOncogene Proteins, FusionProto-Oncogene Proteins c-etsRepressor ProteinsChildETV6:RUNX1High hyperdiploidLymphoblastic, leukemia, acuteSpace–time clustering analysis

Identifiers

PMID41524882
PMCPMC12975832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.